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Job description
Role: Industry Domain Lead – Retail/ CPG/ Insurance /Banking/ Automotive
Designation: Manager/ Senior Manager
Career Track: Expert
Location: Chennai
Role Description/ Responsibilities:
The Industry Domain Lead will be responsible for formulating and executing the supply side/ capability build strategy for their industry. He/ she will also be responsible for driving delivery excellence in all engagements in that industry by providing expert support on generating insights and generating a compelling case for action to deliver business impact. The Industry Lead will also support the development and execution of appropriate demand side/ go-to-market strategy for driving revenue growth and penetration into existing/ new accounts.
• Develop a well thought out POV on the full spectrum of problems/ opportunities in that industry and analytics solutions/ approaches that are relevant to solving them. Articulate the POV in the form of “Industry Analytics on a Page” constructs that help explain it to stakeholders covering key business challenges, metrics, levers, analytics approaches, methodologies, frameworks, tools/ assets/ solutions and impact.
• Understand work done till date in the industry and collate material relevant to developing the POV in the form of case studies and collateral.
• Review approaches/ methodologies/ frameworks used across engagements and develop a reference guide that can be used to standardise and drive excellence.
• Evaluate tools/ assets/ solutions developed across engagements till date and recommend usage/ updates/ redesign as appropriate.
• Drive delivery excellence in all engagements in the industry by active participation/ providing expert support for solving complex business problems.
• Develop issue/ hypothesis trees and other relevant problem-solving approaches for addressing the business challenges.
• Review and provide critical comments to delivery teams on industry factors that need to be taken into consideration for raising the bar on dashboarding, modelling, solving fuzzy problems and generating insights.
• Develop relevant sales/ marketing collateral for supporting the go-to-market strategy for the industry
• Track revenue and penetration into existing/ new accounts and formulate supply side approaches to drive growth around recruitment, skill building, certification, refreshes to frameworks, methodologies, tools, assets and solutions
• Drive/ support proposal/ RFP response development for opportunities in the industry; support NBD and Account Management teams in sales pursuits in existing accounts
• Drive/ support LatentView marketing/ sales events such as roundtables and workshops. Represent LatentView in external events/ conferences to share/ represent our POV on the industry.
• Drive LatentView's consulting capability in the industry and anchor / participate actively in consulting engagements.
Skill/ Experience Requirements:
• Deep knowledge of the business strategy/ analytical models and approaches/ value propositions adopted by leading organizations in the industry.
• Excellent understanding of the business drivers/ levers, processes in the industry and how organizations can use analytics for driving business impact.
• Sound knowledge of the analytics landscape and maturity spectrum within the industry. Familiarity with the problem solving analytical techniques (math) and modelling/ visualization tools (technology) relevant to the industry.
• Conviction and ability to articulate the business impact of moving up the analytics maturity curve to internal audience as well as target clients/ stakeholders.
• 8+ years of analytics experience in the industry in a direct or consulting capacity helping organizations adopt a data/ analytics-based decision-making framework.
• Exceptional problem solving, analytical, communication and inter personal skills.

Job Summary
DataToBiz is an AI and Data Analytics Services startup. We are a team of young and dynamic professionals looking for an exceptional data scientist to join our team in Chandigarh. We are trying to solve some very exciting business challenges by applying cutting-edge Machine Learning and Deep Learning Technology.
Being a consulting and services startup we are looking for quick learners who can work in a cross-functional team of Consultants, SMEs from various domains, UX architects, and Application development experts, to deliver compelling solutions through the application of Data Science and Machine Learning. The desired candidate will have a passion for finding patterns in large datasets, an ability to quickly understand the underlying domain and expertise to apply Machine Learning tools and techniques to create insights from the data.
Responsibilities and Duties
As a Data Scientist on our team, you will be responsible for solving complex big-data problems for various clients (on-site and off-site) using data mining, statistical analysis, machine learning, deep learning.
One of the primary responsibilities will be to understand the business need and translate it into an actionable analytical plan in consultation with the team.
Ensure that the analytical plan aligns with the customer’s overall strategic need.
Understand and identify appropriate data sources required for solving the business problem at hand.
Explore, diagnose and resolve any data discrepancies – including but not limited to any ETL that may be required, missing value and extreme value/outlier treatment using appropriate methods.
Execute project plan to meet requirements and timelines.
Identify success metrics and monitor them to ensure high-quality output for the client.
Deliver production-ready models that can be deployed in the production system.
Create relevant output documents, as required – power point deck/ excel files, data frames etc.
Overall project management - Creating a project plan and timelines for the project and obtain sign-off.
Monitor project progress in conjunction with the project plan – report risks, scope creep etc. in a timely manner.
Identify and evangelize new and upcoming analytical trends in the market within the organization.
Implementing the applications of these algorithms/methods/techniques in R/Python
Required Experience, Skills and Qualifications
3+ years experience working Data Mining and Statistical Modeling for predictive and prescriptive enterprise analytics.
2+ years of working with Python, Machine learning with exposure to one or more ML/DL frameworks like Tensorflow, Caffe, Scikit-Learn, MXNet, CNTK.
Exposure to ML techniques and algorithms to work with different data formats including Structured Data, Unstructured Data, and Natural Language.
Experience working with data retrieval and manipulation tools for various data sources like: Rest/Soap APIs, Relational (MySQL) and No-SQL Databases (MongoDB), IOT data streams, Cloud-based storage, and HDFS.
Strong foundation in Algorithms and Data Science theory.
Strong verbal and written communication skills with other developers and business client
Knowledge of Telecom and/or FinTech Domain is a plus.